900+ Machine Learning Engineer Jobs - September 2026 - High Salaries

Showing 977 jobs results for "machine learning engineer"
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Singapore

  • Work with Data Scientists to ensure feature consistency between offline model development and online production environments.
  • Improve ETL / ELT workflows for large-scale risk data processing.
  • Build and enhance monitoring systems for data quality, feature drift, model performance, and pipeline health. ...
Posted
9 days ago

Singapore

  • Develop incident handling, recovery, and escalation procedures for ML-related issues.
  • Support data quality, lineage tracking, and governance practices across the ML lifecycle.
  • Strong MLOps and production operations focus ...
Posted
9 days ago
  • Implement Retrieval Augmented Generation (RAG) architectures and knowledge retrieval solutions.
  • Develop prompt engineering, evaluation, and optimization approaches for AI systems.
  • Develop and maintain AI model deployment pipelines and model lifecycle processes. ...
Posted
17 days ago

Singapore

  • Platform Integration: Design and drive integrations across AIP surfaces (model serving, ML pipelines, data serving, AI infra, AI Automation tooling) so users experience a coherent platform rather than a collection of services.
  • User Experience Translation: Convert pain points surfaced through embeddings, support channels, and direct user work into functional requirements for AIP teams; propose cross-platform solutions that raise the bar for the DS and MLE personas.
  • Enablement at Scale: Produce reference architectures, patterns, and opinionated best-practice guidance so the next hundred ML use cases land on AIP cleanly, without requiring bespoke platform-team involvement every time. ...
Posted
15 days ago

Singapore

  • Optimize perception algorithms for real-time performance on embedded hardware
  • Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
  • Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems ...
Posted
13 hours ago

Singapore

  • As a Lead Machine Learning Engineer, you will be responsible for:
  • • Build AI-native productivity applications with proactive workflows requiring minimal user prompting.
  • • Lead end-to-end ML systems covering data, training, evaluation, inference, and deployment. ...
Posted
19 days ago

Singapore

Posted
15 days ago

Singapore

Posted
18 days ago

Singapore

Posted
2 days ago

Singapore

  • Monitor GPU utilization, capacity, performance, and resource consumption.
  • Optimize GPU utilization and inference efficiency as workloads scale.
  • Troubleshoot GPU, container, networking, and infrastructure issues in production. ...
Posted
2 days ago

Singapore

  • Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
  • Deploy machine learning models into production environments and integrate them with existing applications through APIs.
  • Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions. ...
Posted
2 days ago

Bedok

Posted
2 days ago

Singapore

  • Partner with product, engineering, and business stakeholders to translate complex user needs into intelligent, measurable solutions.
  • Mentor and provide technical guidance to junior AI/ML engineers, fostering a culture of engineering excellence.
  • Define best practices for model development, code quality, testing, reproducibility, and responsible AI. ...
Posted
16 days ago

Singapore

  • Develop reliable, automated, and reproducible ML workflows across the full model lifecycle.
  • Set technical standards for how ML gets built and shipped on the risk team, including architecture and technical direction.
  • Own the operational health of models in production, from low-latency inference to monitoring and incident response. ...
Posted
17 days ago

River Valley

Posted
17 days ago

Singapore

  • Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
  • As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
  • Diversity & Inclusion ...
Posted
17 days ago

Singapore

  • Develop reliable, automated, and reproducible ML workflows across the full model lifecycle.
  • Set technical standards for how ML gets built and shipped on the risk team, including architecture and technical direction.
  • Own the operational health of models in production, from low-latency inference to monitoring and incident response. ...
Posted
17 days ago

Snappymob Sdn. Bhd. (Reg. No. 201201040611 / 1025089-W)

KL City

  • Optimize model performance, accuracy, and scalability
  • Work on data preprocessing, feature engineering, and model evaluation
  • Develop APIs and backend services for ML-powered applications ...
Posted
23 days ago

KL City

  • Design, execute and monitor machine learning model experiments and metrics; drive conclusions and recommendations independently
  • Monitor, optimise and maintain machine learning solutions in production; proactively identify and resolve systemic issues
  • Champion and enforce test-driven development and engineering best practices to reduce technical debt across ML systems ...
Posted
22 days ago

Singapore

  • Optimize perception algorithms for real-time performance on embedded hardware
  • Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
  • Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems ...
Posted
17 days ago

Singapore

  • Troubleshoot production issues across application, infrastructure, networking, Linux, Kubernetes, and ML serving layers.
  • Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.
  • Practical understanding of the ML / LLM lifecycle, including data pipelines, model training/retraining, evaluation, experiment tracking, deployment, monitoring, and production feedback loops. ...
Posted
24 days ago

Singapore

  • Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
  • Deploy machine learning models into production environments and integrate them with existing applications through APIs.
  • Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions. ...
Posted
15 days ago

Singapore

  • Develop tools for automatically identifying useful driving scenarios and training examples.
  • Validate datasets before they enter model-training pipelines.
  • Run ML experiments and analyse their results. ...
Posted
24 days ago

Singapore

Posted
16 days ago

Singapore

  • Compare pooled multi-snapshot training, continual training, and rolling retraining. Explore multi-task learning, regularization, and graph self-supervised learning to improve training stability, sample efficiency, and generalization over time.
  • Incorporate graph scores or embeddings into existing risk models and measure incremental value over established features and baselines. Use AUC, KS, out-of-time (OOT) validation, segment analysis, and repeated experiments to assess performance, stability, and applicability across products and markets. Enforce point-in-time correctness for features, relationships, and labels to prevent leakage.
  • Collaborate with data engineering, ML engineering, and risk modeling teams to improve data processing, graph construction, training, batch inference, and evaluation pipelines. Optimize runtime and resource usage, and support model versioning, deployment, and performance monitoring. ...
Posted
13 hours ago

Outram

Posted
25 days ago

Singapore

  • Work closely with AI researchers and engineers to bring models into production.
  • Strong software engineering and Python skills.
  • Experience with ML platforms, model deployment, inference systems, or data pipelines. ...
Posted
21 days ago

Queenstown

Posted
2 days ago

Singapore

Posted
4 days ago